2023
DOI: 10.1002/acs.3574
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Fixed time robust control for tower cranes with unmatched disturbances and input saturation

Abstract: To address the challenging problem of fixed-time anti-sway and positioning control for tower cranes with uncertain disturbances and input saturation, a novel fixed-time anti-saturation robust algorithm is proposed. First, on the basis of a newly designed fixed-time convergence system, a fixed-time disturbance observer (FTDO) is developed to estimate the matched and unmatched disturbances. Then, an anti-saturation compensator is employed to deal with the input saturation and make the control input leave the sat… Show more

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Cited by 3 publications
(6 citation statements)
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“…The control of cranes has attracted many researchers, with recent articles [5][6][7][8][9][10][11][12][13] on various crane types, from overhead cranes 5,6 and tower cranes [7][8][9] to ship-mounted boom cranes. 10 A crane is a complex nonlinear system with hundreds of machine elements connected to each other.…”
Section: Introductionmentioning
confidence: 99%
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“…The control of cranes has attracted many researchers, with recent articles [5][6][7][8][9][10][11][12][13] on various crane types, from overhead cranes 5,6 and tower cranes [7][8][9] to ship-mounted boom cranes. 10 A crane is a complex nonlinear system with hundreds of machine elements connected to each other.…”
Section: Introductionmentioning
confidence: 99%
“…Advanced versions of SMC can overcome this problem. Hierarchical SMC 7,8 reduces the chattering at responses but lengthens the reaching phase because it consumes multi-levels of sliding surface. Theoretically, SMC promotes infinite-time stability.…”
Section: Introductionmentioning
confidence: 99%
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“…As described in (Rauscher & Sawodny, 2020), implementation of control strategies on tower cranes is rare due to its complexity and lack of reliable structural dynamics. Some of the few studies that presented the dynamic modelling and control of the TCS are presented in (Gu et al, 2023;Rauscher & Sawodny, 2020;Shan et al, 2022). However, model-based controllers are challenging to design and implement and prone to errors due to uncertainties and assumptions during mathematical modelling.…”
mentioning
confidence: 99%